Support Vector Machine (SVM) Courses and Certifications

Support Vector Machines in Python: SVM Concepts & Code

508 ratings at Udemy

Learn Support Vector Machines in Python. Covers basic SVM models to Kernel-based advanced SVM models of Machine Learning

• Udemy
• 6 hours 21 minutes
• On-Demand
• Paid Course

SVM for Beginners: Support Vector Machines in R Studio

143 ratings at Udemy

Learn Support Vector Machines in R Studio. Basic SVM models to kernel-based advanced SVM models of Machine Learning

• Udemy
• 5 hours 7 minutes
• On-Demand
• Paid Course

Support Vector Machines

Support Vector Machines Part 1 (of 3): Main Ideas!!!.Support Vector machines Part 2: The Polynomial Kernel (Part 2 of 3). support. vectormachines.org/v machines. The Radial (RBF) kernel (Part 3 of 3) support. Vector Machines in Python.

• YouTube
• 1 hour 30 minutes
• On-Demand
• Free Online Course

Support Vector Machines in R

This course will introduce the support vector machine (SVM) using an intuitive, visual approach.

• DataCamp
• 4 hours
• On-Demand
• Free Trial Available

Great Learning

Support Vector Machines

Learn about Support Vector Machines (SVMs), their applications, advantages, and disadvantages in less than an hour with Great Learning. Includes a practical Python demonstration.

• YouTube
• 1 hour
• On-Demand
• Free Online Course

Great Learning

Support Vector Machine - SVM - Machine Learning Tutorial

Support Vector Machines have various applications such as they can be used in classification of images, in handwritten character recognition, classification of satellite SAR data. Learn about SVM in this video by Great Learning.

• YouTube
• 39 minutes
• On-Demand
• Free Online Course

Serrano.Academy

Support Vector Machines - A Friendly Introduction

Learn the basics of Support Vector Machines (SVMs) with minimal math in less than an hour, offered by Serrano.Academy. Ideal for visual learners.

• YouTube
• 31 minutes
• On-Demand
• Free Online Course

StatQuest with Josh Starmer

Support Vector Machines in Python from Start to Finish

Learn to implement Support Vector Machines in Python with StatQuest's concise, under 1-hour material. Covers data importing, handling missing data, downsampling, data formatting, and optimization.

• YouTube
• 45 minutes
• On-Demand
• Free Online Course

StatQuest with Josh Starmer

Support Vector Machines Part 1 - Main Ideas

Unravel the mystery of Support Vector Machines in less than an hour with StatQuest's online material, covering basic concepts, kernel functions, and more.

• YouTube
• 21 minutes
• On-Demand
• Free Online Course

Krish Naik

SVM Kernels In-Depth Intuition - Polynomial Kernels Part 3 - Machine Learning Data Science

Dive into SVM Kernels with Krish Naik's online material, focusing on polynomial kernels, use cases, and hyperparameter tuning in under an hour.

• YouTube
• 21 minutes
• On-Demand
• Free Online Course

Pascal Poupart

Support Vector Machines - Continued

Dive into Support Vector Machines with Pascal Poupart's concise online program. Learn about soft margins, slack variables, and multiclass margin in under an hour.

• YouTube
• 29 minutes
• On-Demand
• Free Online Course

Pascal Poupart

Support Vector Machines

Learn about support vector machines, margin classifiers, and linear separators in a 1-2 hour online program by Pascal Poupart.

• YouTube
• 1 hour 18 minutes
• On-Demand
• Free Online Course

Hausdorff Center for Mathematics

Non Asymptotic Analysis of L1 Support Vector Machines

Explore non-asymptotic analysis of l1 support vector machines with Jan Vybiral, offered by Hausdorff Center for Mathematics. Gain insights into sparse classifiers of high-dimensional data.

• YouTube
• 48 minutes
• On-Demand
• Free Online Course

Support Vector Machines with scikit-learn

306 ratings at Coursera

Learn to apply Support Vector Machines using Python and scikit-learn in a hands-on project on Coursera. Build a simple facial recognition model with pre-configured cloud desktops.

• Coursera
• 2 hours 35 minutes
• On-Demand
• Paid Course

Support Vector Machine Classification in Python

147 ratings at Coursera

Learn to implement a Support Vector Machine algorithm for data classification using Python in this 1-hour project-based course offered by Coursera Project Network.

• Coursera
• 2 hours 5 minutes
• On-Demand
• Paid Course